package com.zoe.vhr.service;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.BoundSetOperations;
import org.springframework.data.redis.core.HashOperations;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ValueOperations;
import org.springframework.data.redis.support.atomic.RedisAtomicLong;
import org.springframework.stereotype.Service;

import java.util.*;
import java.util.concurrent.TimeUnit;

/**
 * @Author Zoe.Zhang
 * @Date: 2021/07/28
 * @Description RedisService
 */
@Service
public class RedisService {
    private static final Logger log = LoggerFactory.getLogger(RedisService.class);
    @Autowired
    private RedisTemplate redisTemplate;

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key   缓存的键值
     * @param value 缓存的值
     */
    public <T> void setCacheObject(final String key, final T value) {
        redisTemplate.opsForValue().set(key, value);
    }

    /**
     * 缓存基本的对象，Integer、String、实体类等
     *
     * @param key      缓存的键值
     * @param value    缓存的值
     * @param timeout  时间
     * @param timeUnit 时间颗粒度
     */
    public <T> void setCacheObject(final String key, final T value, final Long timeout, final TimeUnit timeUnit) {
        redisTemplate.opsForValue().set(key, value, timeout, timeUnit);
    }

    /**
     * 设置有效时间
     *
     * @param key     Redis键
     * @param timeout 超时时间
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout) {
        return expire(key, timeout, TimeUnit.SECONDS);
    }

    /**
     * 设置有效时间
     *
     * @param key     Redis键
     * @param timeout 超时时间
     * @param unit    时间单位
     * @return true=设置成功；false=设置失败
     */
    public boolean expire(final String key, final long timeout, final TimeUnit unit) {
        return redisTemplate.expire(key, timeout, unit);
    }

    /**
     * 获得缓存的基本对象。
     *
     * @param key 缓存键值
     * @return 缓存键值对应的数据
     */
    public <T> T getCacheObject(final String key) {
        ValueOperations<String, T> operation = redisTemplate.opsForValue();
        return operation.get(key);
    }

    /**
     * 删除单个对象
     *
     * @param key
     */
    public boolean deleteObject(final String key) {
        return redisTemplate.delete(key);
    }

    /**
     * 删除hash对象
     *
     * @param key
     * @param hKey
     * @return
     */
    public boolean deleteHashObject(final String key, final String hKey) {
        Long delete = redisTemplate.opsForHash().delete(key, hKey);
        return delete > 0;
    }

    /**
     * 批量删除hash对象
     *
     * @param key
     * @param hKeys
     * @return
     */
    public boolean deleteBatchHashObject(final String key, final Collection<String> hKeys) {
        Long delete = redisTemplate.opsForHash().delete(key, hKeys);
        return delete > 0;
    }

    /**
     * 删除集合对象
     *
     * @param collection 多个对象
     * @return
     */
    public long deleteObject(final Collection collection) {
        return redisTemplate.delete(collection);
    }

    /**
     * 缓存List数据
     *
     * @param key      缓存的键值
     * @param dataList 待缓存的List数据
     * @return 缓存的对象
     */
    public <T> long setCacheList(final String key, final List<T> dataList) {
        Long count = redisTemplate.opsForList().rightPushAll(key, dataList);
        return count == null ? 0 : count;
    }

    /**
     * 缓存List数据
     *
     * @param key 缓存的键值
     * @param t   待缓存的数据
     * @return 缓存的对象
     */
    public <T> long setCacheListByObject(final String key, final T t) {
        Long count = redisTemplate.opsForList().rightPush(key, t);
        return count == null ? 0 : count;
    }

    /**
     * 获得缓存的list对象
     *
     * @param key 缓存的键值
     * @return 缓存键值对应的数据
     */
    public <T> List<T> getCacheList(final String key) {
        return redisTemplate.opsForList().range(key, 0, -1);
    }

    /**
     * 缓存Set
     *
     * @param key     缓存键值
     * @param dataSet 缓存的数据
     * @return 缓存数据的对象
     */
    public <T> BoundSetOperations<String, T> setCacheSet(final String key, final Set<T> dataSet) {
        BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key);
        Iterator<T> it = dataSet.iterator();
        while (it.hasNext()) {
            setOperation.add(it.next());
        }
        return setOperation;
    }

    /**
     * 获得缓存的set
     *
     * @param key
     * @return
     */
    public <T> Set<T> getCacheSet(final String key) {
        return redisTemplate.opsForSet().members(key);
    }

    /**
     * 缓存Map
     *
     * @param key
     * @param dataMap
     */
    public <T> void setCacheMap(final String key, final Map<String, T> dataMap) {
        if (dataMap != null) {
            redisTemplate.opsForHash().putAll(key, dataMap);
        }
    }

    /**
     * 获得缓存的Map
     *
     * @param key
     * @return
     */
    public <T> Map<String, T> getCacheMap(final String key) {
        return redisTemplate.opsForHash().entries(key);
    }

    /**
     * 往Hash中存入数据
     *
     * @param key   Redis键
     * @param hKey  Hash键
     * @param value 值
     */
    public <T> boolean setCacheMapValue(final String key, final String hKey, final T value) {
        try {
            redisTemplate.opsForHash().put(key, hKey, value);
            log.debug("【Redis操作DEBUG】 ===> 【往Hash中存入数据成功】 ===> 【key: {}, hKey: {}, value: {}】", key, hKey, value.toString());
            return true;
        } catch (Exception e) {
            log.error("【Redis操作ERROR】 ===> 【往Hash中存入数据异常】 ===> 【key: {}, hKey: {}, value: {}】 ===> 【异常信息为: {}】", key, hKey, value.toString(), e);
        }
        return false;
    }


    /**
     * 批量删除hash 分页对象
     *
     * @param key
     * @param hKeys
     * @return
     */
    public boolean deleteBatchPageObject(final String key, final Collection<String> hKeys) {
        Long delete = redisTemplate.opsForZSet().remove(key + ":page", hKeys);
        return delete > 0;
    }

    /**
     * 批量删除hash 分页对象
     *
     * @param key
     * @param hKey
     * @return
     */
    public boolean deletePageObject(final String key, final String hKey) {
        Long delete = redisTemplate.opsForZSet().remove(key + ":page", hKey);
        return delete > 0;
    }

    /**
     * 分页存取数据
     *
     * @param key   hash存取的key
     * @param hKey  hash存取的hKey
     * @param score 指定字段排序
     * @param value
     * @return
     */
    public <T> boolean setPage(final String key, final String hKey, double score, final T value) {
        boolean result = false;
        try {
            redisTemplate.opsForZSet().add(key + ":page", hKey, score);
            result = this.setCacheMapValue(key, hKey, value);
            log.debug("【Redis操作DEBUG】 ===> 【分页存取数据】 ===> 【key: {}, hKey: {}, score: {}, value: {}】", key, hKey, score, value.toString());
        } catch (Exception e) {
            log.error("【Redis操作ERROR】 ===> 【分页存取数据】 ===> 【key: {}, hKey: {}, score: {}, value: {}】 ===> 【异常信息为: {}】", key, hKey, score, value.toString(), e);
        }
        return result;
    }

    /**
     * 分页取出 hash中hKey值
     *
     * @param key
     * @param page
     * @param pageSize
     * @return
     */
    public Set<String> getPage(String key, int page, int pageSize) {
        Set<String> result = null;
        try {
            //1 100000代表score的排序氛围值，即从1-100000的范围
            result = redisTemplate.opsForZSet().reverseRangeByScore(key + ":page", 0, System.currentTimeMillis(), (page - 1) * pageSize, page * pageSize);
            log.debug("【Redis操作DEBUG】 ===> 【分页取出 hash中hKey值】 ===> 【key: {}, page: {}, pageSize: {}】", key, page, pageSize);
        } catch (Exception e) {
            log.error("【Redis操作ERROR】 ===> 【分页取出 hash中hKey值】 ===> 【key: {}, page: {}, pageSize: {}】 ===> 【异常信息为: {}】", key, page, pageSize, e);
        }
        return result;
    }

    /**
     * 计算key值对应的数量
     *
     * @param key
     * @return
     */
    public Integer getSize(String key) {
        Integer num = 0;
        try {
            Long size = redisTemplate.opsForZSet().zCard(key + ":page");
            log.debug("【Redis操作DEBUG】 ===> 【计算key值对应的数量】 ===> 【key: {}】", key);
            return size.intValue();
        } catch (Exception e) {
            log.error("【Redis操作ERROR】 ===> 【计算key值对应的数量】 ===> 【key: {}】 ===> 【异常信息为: {}】", key, e);
        }
        return num;
    }

    /**
     * 根据hKeys批量删除列表
     *
     * @param key
     * @param hKeys
     * @return
     */
    public boolean deleteBatchZSetByHKeys(String key, Collection hKeys) {
        Long result = redisTemplate.opsForZSet().remove(key, hKeys);
        return result > 0;
    }

    /**
     * 根据hKey删除列表中的元素
     *
     * @param key
     * @param hKey
     * @return
     */
    public boolean deleteZSetByHKey(String key, String hKey) {
        Long result = redisTemplate.opsForZSet().remove(key, hKey);
        return result > 0;
    }

    /**
     * 获取Hash中的数据
     *
     * @param key  Redis键
     * @param hKey Hash键
     * @return Hash中的对象
     */
    public <T> T getCacheMapValue(final String key, final String hKey) {
        HashOperations<String, String, T> opsForHash = redisTemplate.opsForHash();
        return opsForHash.get(key, hKey);
    }

    /**
     * 获取多个Hash中的数据
     *
     * @param key   Redis键
     * @param hKeys Hash键集合
     * @return Hash对象集合
     */
    public <T> List<T> getMultiCacheMapValue(final String key, final Collection hKeys) {
        return redisTemplate.opsForHash().multiGet(key, hKeys);
    }

    /**
     * 获得缓存的基本对象列表
     *
     * @param pattern 字符串前缀
     * @return 对象列表
     */
    public Collection<String> keys(final String pattern) {
        return redisTemplate.keys(pattern);
    }

    /**
     * 根据key判断是否存在
     *
     * @param key
     * @return
     */
    public boolean existByKey(String key) {
        return redisTemplate.hasKey(key);
    }

    /**
     * 消息发布订阅
     *
     * @param topic
     * @param t
     * @param <T>
     */
    public <T> void convertAndSend(String topic, T t) {
        redisTemplate.convertAndSend(topic, t);
    }

    /**
     * redis自增
     *
     * @param key
     */
    public void increment(String key) {
        RedisAtomicLong entityIdCounter = new RedisAtomicLong(key, redisTemplate.getConnectionFactory());
        entityIdCounter.getAndIncrement();
    }

    /**
     * redis hash自增
     *
     * @param key
     */
    public void hincr(String key, String hkey, Long value) {
        redisTemplate.opsForHash().increment(key, hkey, value);
    }
}
